It's similar; but there are some features that are MIA and other features that reorganization different portions. For instance, the jupyter tab is now being reported inside of the variables panel (note issue at: 11:33.), the in-cell notebook debugger is missing, and the python setup process is painless.
I'm running your notebook on a vanilla Positron install but the magic commands such as `%view penguins` is throwing an AttributeError. Both Python and Jupyter extensions are installed. Is there anything else I need to check for these commands to work? Thanks for the tutorial btw!
Double-check that you have the latest version of Positron, the interactive viewer has received a few behind the scene tweaks. Also, make sure pandas is loaded. The following should work in a two-cell sequence. Cell 1: import pandas as pd penguins = pd.read_csv("github.com/coatless/raw-data/raw/refs/heads/main/penguins.csv") penguins.head() Cell 2: %view penguins
The Positron IDE and Python are RAM and CPU hungry. Unless you are fitting a neural network/doing deep learning, the amount of RAM on a GPU is unlikely to play a role in being able to do data analysis effectively.
You can establish a connection using odbc to a Databricks cluster via its connection panel, c.f. solutions.posit.co/connections/db/databases/databricks/
Thanks for an excellent practical introduction to python in Positron!
Glad it was helpful!
At the moment this seems almost identical to using a Jupyter notebook in VS Code, but I guess the ambitions for it are big!
It's similar; but there are some features that are MIA and other features that reorganization different portions. For instance, the jupyter tab is now being reported inside of the variables panel (note issue at: 11:33.), the in-cell notebook debugger is missing, and the python setup process is painless.
I'm running your notebook on a vanilla Positron install but the magic commands such as `%view penguins` is throwing an AttributeError. Both Python and Jupyter extensions are installed. Is there anything else I need to check for these commands to work? Thanks for the tutorial btw!
Double-check that you have the latest version of Positron, the interactive viewer has received a few behind the scene tweaks.
Also, make sure pandas is loaded. The following should work in a two-cell sequence.
Cell 1:
import pandas as pd
penguins = pd.read_csv("github.com/coatless/raw-data/raw/refs/heads/main/penguins.csv")
penguins.head()
Cell 2:
%view penguins
Do you think 4 gb rtx3050 enough for data analysis?
The Positron IDE and Python are RAM and CPU hungry. Unless you are fitting a neural network/doing deep learning, the amount of RAM on a GPU is unlikely to play a role in being able to do data analysis effectively.
Is there support for using this IDE with Databricks?
You can establish a connection using odbc to a Databricks cluster via its connection panel, c.f.
solutions.posit.co/connections/db/databases/databricks/
@@thecoatlessprofessor7674 Thank you!